Updates

  1. Person pages list letters, writing, profiles and links as sortable tables with filters, and show each person's companies as links; Fund letters show each letter's description in its own column.
  2. Experts show a checked job title and a short description of each person; 30 more people have photographs.
  3. Every company, fund, university and publication the experts work for has a page listing the people there.
  4. Fund letters show each letter's thesis and filter by it; 225 person pages list the essays, columns and newsletter issues the person wrote.
  5. Person pages list every essay and newsletter issue a person wrote, and their own books as a table in List view.
  6. Recommends shows the five largest kinds of book and the rest under More; browse pictures load sooner.
  7. Podcasts and talks link the original episode, filter by Audio and video or Press, and list each publisher once.
  8. Pages are wider, Recommends has List and Grid, and a filter clicked again turns off.
  9. Book cards sit in a ruled grid with Open Library and Goodreads links and each book's one-line note.
  10. Funds is now Investors; each investor's styles are buttons that filter the table.
  11. Podcasts and talks on a person's page filter by year and publisher and show as a list or a grid of pictures.
  12. Quotes show only people's own words: 472 summaries written by list sites are gone.
  13. Country pages open from Browse again, and every link on the shelf lands on a page.
  14. Subject and person pages show their sections as tabs, and each book appears once on a person's page.
  15. Book cards show the quote, who said it and the source; grids show five cards to a row.
  16. On a phone, a menu holds the sections, search, Updates, Feedback and dark mode.
  17. Feedback takes a screenshot of the page with no browser prompt, opens a screenshot full size when you click it, and clears itself once sent.
  18. Book cards are centred, search names the topic each book sits in, and any text cut short shows whole on hover.
  19. Search groups its results by kind: people, companies, geographies, subjects, topics, books, funds, fund letters and papers.
  20. The Books table lists who recommended each book by name, and the browser tab names the section you are in.
  21. Feedback can take a screenshot of the page, or one you paste or choose, and opens in the corner beside Updates.
  22. Each rail button reopens its section where you left it, and Browse, Table and People show on every book and subject page.
  23. Filters grey out choices that hold nothing instead of hiding them, and Books › People filters by authors or recommenders.
  24. Feedback takes a subject line and up to three screenshots.
  25. Biographies are grouped by the person they are about: 41 new pages, from Abraham Lincoln to Lee Kuan Yew.
  26. Sport splits into 23 sports, and Religion into one topic per faith.
  27. Book lists show as cards: the cover, one recommendation quote and every recommender by name.
  28. Seventeen subjects that had two or three pages under different names now have one page each.
  29. Every page lists its Experts as authors and recommenders, with a link to them on the Experts tab.
  30. Economics, Financial history, Financial panics and Accounting are subjects of their own, with one page per financial crisis.
  31. Book, person and subject pages open inside the app, so the tabs stay in view.
  32. 996 more book covers, and photographs or logos for 227 more people and companies.
  33. Books › Browse shows every subject as cards, and the rail holds Fund letters, Papers, Experts, Books and Funds.
  34. Every topic over 150 books splits into narrower topics, each with a page of its own.

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Statistics, probability and data

Mathematics and Statistics

Books on statistics, probability, causal inference, econometrics, forecasting, machine learning and the display of data.

Books 37Experts 2Recommenders 30

Start here

  1. How to Lie with StatisticsDarrell Huff, 1954
  2. MoneyballMichael Lewis, 2003
  3. The Book of WhyJudea Pearl, Dana Mackenzie, 2018
  4. Probability, Random Variables and Stochastic ProcessesAthanasios Papoulis, S. Unnikrishna Pillai, 1965
  5. CausalityJudea Pearl, 2000
How to Lie with StatisticsHow to Lie with Statistics
T1 How to Lie with Statistics
Darrell Huff · 1954
Open LibraryGoodreads

How biased samples, chosen averages and cut-off chart axes make numbers mislead.

Recommended by: Bill Gates, Mohnish Pabrai, Morgan Housel and 6 others

MoneyballMoneyball
T1 Moneyball
Michael Lewis · 2003
Open LibraryGoodreads

How the Oakland A's won on a small payroll by buying players the market undervalued.

“understanding how to buy undervalued players is very similar to buying undervalued stocks and so that's a really helpful book” — Joel Greenblatt

Source: Masters in Business transcript: Joel Greenblatt (2018)

Recommended by: Joel Greenblatt, Mohnish Pabrai, Ev Williams and 2 others

The Book of WhyThe Book of Why
T1 The Book of Why
Judea Pearl, Dana Mackenzie · 2018
Open LibraryGoodreads

How the science of cause and effect moved past 'correlation is not causation'.

Recommended by: Bill Gates, Keith Rabois, Naval Ravikant

Probability, Random Variables and StochasticProbability, Random Variables and Stochastic Processes
T2 Probability, Random Variables and Stochastic Processes
Athanasios Papoulis, S. Unnikrishna Pillai · 1965
Open LibraryGoodreads

The graduate engineering text on probability and stochastic processes.

Recommended by: Nassim Nicholas Taleb

CausalityCausality
T2 Causality
Judea Pearl · 2000
Open LibraryGoodreads

A mathematical theory of causation for statistics, AI, economics and science.

The Drunkard's WalkThe Drunkard's Walk
T2 The Drunkard's Walk
Leonard Mlodinow · 2008
Open LibraryGoodreads

How randomness shapes our lives, the history of probability, and why we misread it.

Recommended by: Patrick Collison

Mostly Harmless EconometricsMostly Harmless Econometrics
T2 Mostly Harmless Econometrics
Joshua D. Angrist, Jorn-Steffen Pischke · 2009
Open LibraryGoodreads

A practical guide to causal inference: regression, instruments, differences.

The Theory That Would Not DieThe Theory That Would Not Die
T2 The Theory That Would Not Die
Sharon Bertsch McGrayne · 2011
Open LibraryGoodreads
Naked StatisticsNaked Statistics
T2 Naked Statistics
Charles Wheelan · 2013
Open LibraryGoodreads

Statistics without the maths, for reading claims: averages, correlation, regression.

Recommended by: Keith Rabois

The Science of ConjectureThe Science of Conjecture
T3 The Science of Conjecture
James Franklin · 2001
Open LibraryGoodreads

How evidence and probability were reasoned about before formal statistics

Recommended by: Nassim Nicholas Taleb

How to Measure AnythingHow to Measure Anything
T3 How to Measure Anything
Douglas W. Hubbard · 2007
Open LibraryGoodreads

Calibration and the value of information applied to intangibles.

Recommended by: Julia Galef, Nick Ganju

Statistical Models: Theory and PracticeStatistical Models: Theory and Practice
T3 Statistical Models: Theory and Practice
David A. Freedman · 2009
Open LibraryGoodreads

Freedman on regression's assumptions and the causal claims it cannot support

Recommended by: Nassim Nicholas Taleb

The Improbability PrincipleThe Improbability Principle
T3 The Improbability Principle
David J. Hand · 2014
Open LibraryGoodreads

Recommended by: Mohnish Pabrai

Extrapolation, Interpolation, and Smoothing Extrapolation, Interpolation, and Smoothing of Stationary Time Series: With Engineering Applications (M.I.T. Press Paperback Series)
T4 Extrapolation, Interpolation, and Smoothing of Stationary Time Series: With Engineering Applications (M.I.T. Press Paperback Series)
Norbert Wiener · 1949
Open LibraryGoodreads

Recommended by: Patrick Collison

Clinical Versus Statistical PredictionClinical Versus Statistical Prediction
T4 Clinical Versus Statistical Prediction
Paul E. Meehl · 1954
Open LibraryGoodreads

Recommended by: Daniel Kahneman

Elementary ProbabilityElementary Probability
T4 Elementary Probability
Edward O. Thorp · 1966
Open LibraryGoodreads
Exploratory Data AnalysisExploratory Data Analysis
T4 Exploratory Data Analysis
John Wilder Tukey · 1970
Open LibraryGoodreads

Recommended by: Patrick Collison

The Visual Display of Quantitative InformatiThe Visual Display of Quantitative Information
T4 The Visual Display of Quantitative Information
Edward R. Tufte · 1983
Open LibraryGoodreads

Recommended by: Patrick Collison, Bret Victor, Daniel Burka and 1 other

The Elements of Graphing DataThe Elements of Graphing Data
T4 The Elements of Graphing Data
William S. Cleveland · 1985
Open LibraryGoodreads

Recommended by: Bret Victor

Envisioning InformationEnvisioning Information
T4 Envisioning Information
Edward R. Tufte · 1990
Open LibraryGoodreads

How to show complex information on flat paper or screens, with many examples.

Recommended by: Patrick Collison, Bret Victor, Jeff Atwood and 1 other

Statistics As Principled ArgumentStatistics As Principled Argument
T4 Statistics As Principled Argument
Robert P. Abelson · 1995
Open LibraryGoodreads

Recommended by: Patrick Collison

Visual ExplanationsVisual Explanations
T4 Visual Explanations
Edward R. Tufte · 1997
Open LibraryGoodreads

Recommended by: Patrick Collison, Bret Victor, Jeff Atwood

A Guide to EconometricsA Guide to Econometrics
T4 A Guide to Econometrics
Peter Kennedy · 1998
Open LibraryGoodreads

What each econometric technique is for, what it assumes and what goes wrong.

Recommended by: Nassim Nicholas Taleb

Pattern ClassificationPattern Classification
T4 Pattern Classification
David G. Stork, Richard O. Duda, Peter E. Hart · 2001
Open LibraryGoodreads

Recommended by: Eric Weinstein

Beautiful EvidenceBeautiful Evidence
T4 Beautiful Evidence
Edward R. Tufte · 2006
Open LibraryGoodreads

Recommended by: Patrick Collison, Bret Victor, Jeff Atwood

Elements of Information TheoryElements of Information Theory
T4 Elements of Information Theory
Thomas M. Cover · 2006
Open LibraryGoodreads

Recommended by: Eric Weinstein

Introduction to EconometricsIntroduction to Econometrics
T4 Introduction to Econometrics
James H. Stock, Mark W. Watson · 2006
Open LibraryGoodreads

Recommended by: Eric Weinstein

Machine Learning: An Algorithmic PerspectiveMachine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
T4 Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
Stephen Marsland · 2009
Open LibraryGoodreads

Recommended by: Patrick Collison

Value-Added Measures in EducationValue-Added Measures in Education
T4 Value-Added Measures in Education
Douglas N. Harris · 2011
Open LibraryGoodreads

Recommended by: Bill Gates

Machine Learning for HackersMachine Learning for Hackers
T4 Machine Learning for Hackers
Drew Conway · 2012
Open LibraryGoodreads

Recommended by: Patrick Collison

The Signal and the NoiseThe Signal and the Noise
T4 The Signal and the Noise
Nate Silver · 2012
Open LibraryGoodreads

Why some forecasts succeed and most fail, from weather to earthquakes and economics.

Recommended by: Bill Gates, Mohnish Pabrai, Sophie Bakalar

Dataclysm: Who We Are (When We Think No One'Dataclysm: Who We Are (When We Think No One's Looking)
T4 Dataclysm: Who We Are (When We Think No One's Looking)
Christian Rudder · 2014
Open LibraryGoodreads

Recommended by: Mohnish Pabrai

Information GraphicsInformation Graphics
T4 Information Graphics
Simon Rogers · 2014
Open LibraryGoodreads

Recommended by: Coleen Baik, Jessica Hische

Data Science from ScratchData Science from Scratch
T4 Data Science from Scratch
Joel Grus · 2015
Open LibraryGoodreads

Recommended by: Balaji S. Srinivasan

AstroballAstroball
T4 Astroball
Ben Reiter · 2018
Open LibraryGoodreads

Recommended by: Nick Crocker

The Model ThinkerThe Model Thinker
T4 The Model Thinker
Scott E. Page · 2018
Open LibraryGoodreads

Recommended by: Keith Rabois, Michael Mauboussin

A Philosophical Essay on ProbabilitiesA Philosophical Essay on Probabilities
T4 A Philosophical Essay on Probabilities
Goodreads

Recommended by: Patrick Collison

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